Lists (1)
Stars
Unified Training of Universal Time Series Forecasting Transformers
Transfer Learning for Global Crop Type Mapping
Earth system foundation model data, training, and eval
on exploring spatio-temporal encoding strategies for county-level yield prediction.
Chronos: Pretrained Models for Time Series Forecasting
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Toolkit for using Microsoft AI for Good team's flood detection model with SAR imagery
Official Repo for CRMArena and CRMArena-Pro
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
A toolkit that enables building damage assessments from remotely sensed imagery.
A tool for developing remote sensing datasets and models.
This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
A curated list of papers and resources about the distribution shift in machine learning.
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Open source remote sensing dataset with benchmarks
🔧 My personal Linux and macOS configurations and settings
🎓 Path to a free self-taught education in Computer Science!
Python workflows for data-rich, hyper-resolution simulations of hydrologic models on watersheds.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Techniques for deep learning with satellite & aerial imagery
interactive notebooks from Planet Engineering
A complete computer science study plan to become a software engineer.